Quality Diversity: A New Frontier for Evolutionary Computation

Cited by (512)

Items 101–200 of 512

1. EvoCraft: A New Challenge for Open-Endedness
   Djordje Grbic, Rasmus Berg Palm, Elias Najarro, Claire Glanois, Sebastian Risi · 2021 · Lecture notes in computer science
2. Analysis of Evolutionary Diversity Optimization for Permutation Problems
   Anh Do, Mingyu Guo, Aneta Neumann, Frank Neumann · 2022 · ACM Transactions on Evolutionary Learning and Optimization
3. Uncertain Quality-Diversity: Evaluation Methodology and New Methods for Quality-Diversity in Uncertain Domains
   Manon Flageat, Antoine Cully · 2023 · IEEE Transactions on Evolutionary Computation
4. A multi-modal multi-objective evolutionary algorithm based on dual decomposition and subset selection
   Minghui Xiong, Wei Xiong, Zheng Liu, Yali Liu, Chi Han · 2023 · Swarm and Evolutionary Computation
5. A comparison of illumination algorithms in unbounded spaces
   Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret · 2017 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
6. Combining MAP-Elites and Incremental Evolution to Generate Gaits for a Mammalian Quadruped Robot
   Jørgen Nordmoen, Kai Olav Ellefsen, Kyrre Glette · 2018 · Lecture notes in computer science
7. Evolution of a functionally diverse swarm via a novel decentralised quality-diversity algorithm
   Emma Hart, Andreas Steyven, Ben Paechter · 2018 · Genetic and Evolutionary Computation Conference (GECCO)
8. Taking the Scenic Route: Automatic Exploration for Videogames
   Zeping Zhan, Batu Aytemiz, Adam M. Smith · 2018 · arXiv (Cornell University)
9. Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization
   Yi Xiang, Han Pang Huang, Sizhe Li, Miqing Li, Chuan Wen Luo, Xiaowei Yang · 2023 · ACM Transactions on Software Engineering and Methodology
10. Exploring the feature space of TSP instances using quality diversity
    Jakob Bossek, Frank Neumann · 2022 · Genetic and Evolutionary Computation Conference (GECCO)
11. Quality Diversity Evolutionary Learning of Decision Trees
    Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca · 2023 · ACM Symposium on Applied Computing
12. Plant science in the age of simulation intelligence
    Michiel Stock, Olivier Pieters, Tom De Swaef, Francis wyffels · 2024 · Frontiers in Plant Science
13. Learning behaviour-performance maps with meta-evolution
    David M. Bossens, Jean-Baptiste Mouret, Danesh Tarapore · 2020 · Genetic and Evolutionary Computation Conference (GECCO)
14. Analysis of evolutionary diversity optimisation for permutation problems
    Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann · 2021 · Genetic and Evolutionary Computation Conference (GECCO)
15. General intelligence requires rethinking exploration
    Minqi Jiang, Tim Rocktäschel, Edward Grefenstette · 2023 · Royal Society Open Science
16. General intelligence requires rethinking exploration
    Jiang, Minqi, Rocktäschel, Tim, Grefenstette, Edward · 2022 · arXiv
17. Innate Motivation for Robot Swarms by Minimizing Surprise: From Simple Simulations to Real-World Experiments
    Tanja Katharina Kaiser, Heiko Hamann · 2022 · IEEE Transactions on Robotics
18. An approach to evolve and exploit repertoires of general robot behaviours
    Jorge Gomes, Sancho Moura Oliveira, Anders Lyhne Christensen · 2018 · Swarm and Evolutionary Computation
19. Evaluation of Large Language Models as Solution Generators in Complex Optimization
    Beichen Huang, Xingyu Wu, Yu Fen Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan · 2025 · IEEE Computational Intelligence Magazine
20. Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
    Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully · 2021 · IEEE International Conference on Robotics and Automation
21. COIL: Constrained optimization in learned latent space
    Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Quang Tran · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
22. An illumination algorithm approach to solving the micro-depot routing problem
    Neil B. Urquhart, Silke Höhl, Emma Hart · 2019 · Genetic and Evolutionary Computation Conference (GECCO)
23. Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
    Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully · 2023 · ACM Transactions on Evolutionary Learning and Optimization
24. Dynamic mutation in MAP-Elites for robotic repertoire generation
    Jørgen Nordmoen, Eivind Samuelsen, Kai Olav Ellefsen, Kyrre Glette · 2018 · Conference on Artificial Life (ALIFE)
25. Evolutionary Robotics
    J. Fernando Silva, Luís Correia, Anders Christensen · 2016 · Scholarpedia
26. Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
    Campos, Víctor, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres · 2020 · arXiv (Cornell University)
27. DreamGarden: A Designer Assistant for Growing Games from a Single Prompt
    Sam Earle, Samyak Parajuli, Andrzej Banburski · 2025 · CHI Conference on Human Factors in Computing Systems
28. Automated Curriculum Learning by Rewarding Temporally Rare Events
    Niels Justesen, Sebastian Risi · 2018 · IEEE Conference on Computational Intelligence and Games (CIG)
29. DART: Diversity-enhanced Autonomy in Robot Teams
    Nora Ayanian · 2019 · The International Journal of Robotics Research
30. Comparing and combining lexicase selection and novelty search
    Lia Jundt, Thomas Helmuth · 2019 · Genetic and Evolutionary Computation Conference (GECCO)
31. Behavioral Repertoires for Soft Tensegrity Robots
    Kyle Doney, Aikaterini Petridou, Jacob Karaul, Ali Fahim Khan, Geoffrey Liu, John A. Rieffel · 2020 · IEEE Symposium Series on Computational Intelligence (SSCI)
32. Ensemble feature extraction for multi-container quality-diversity algorithms
    Léo Cazenille · 2021 · Genetic and Evolutionary Computation Conference (GECCO)
33. Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
    Chris Reinke, Mayalen Etcheverry, Pierre‐Yves Oudeyer · 2019 · arXiv (Cornell University)
34. Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
    Mayalen Etcheverry, Clément Moulin-Frier, Pierre‐Yves Oudeyer · 2020 · arXiv (Cornell University)
35. Qualities, challenges and future of genetic algorithms: a literature review
    Aymeric Vié, Alissa M. Kleinnijenhuis, Farmer, Doyne J. · 2020 · arXiv (Cornell University)
36. Task-Agnostic Evolution of Diverse Repertoires of Swarm Behaviours
    Jorge Gomes, Anders Lyhne Christensen · 2018 · Lecture notes in computer science
37. Novelty search for deep reinforcement learning policy network weights by action sequence edit metric distance
    Ethan Jackson, Mark Daley · 2019 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
38. Hierarchical quality-diversity for online damage recovery
    Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully · 2022 · Genetic and Evolutionary Computation Conference (GECCO)
39. A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning
    Zefeng Chen, Yuren Zhou, Xiaoyu He, Siyu Jiang · 2019 · International Joint Conference on Artificial Intelligence
40. AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment
    Tianping Zhang, Yuanqi Li, Jin, Yifei, Jian Li · 2020 · RePEc: Research Papers in Economics
41. DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
    Stéphane Doncieux, Nicolas Bredèche, Léni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz-Rodríguez, David Filliat, Timothy M. Hospedales et al. · 2020 · arXiv (Cornell University)
42. Configurable Agent With Reward As Input: A Play-Style Continuum Generation
    Le Pelletier de Woillemont, Pierre, Labory, Remi, Corruble, Vincent · 2021 · 2021 IEEE Conference on Games (CoG)
43. Frequency Fitness Assignment: Making Optimization Algorithms Invariant Under Bijective Transformations of the Objective Function Value
    Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen · 2020 · IEEE Transactions on Evolutionary Computation
44. Effects of encodings and quality-diversity on evolving 2D virtual creatures
    Frank Veenstra, Martin Herring Olsen, Kyrre Glette · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
45. Generative Design through Quality-Diversity Data Synthesis and Language Models
    Adam Gaier, James Stoddart, Lorenzo Villaggi, Shyam Sudhakaran · 2024 · Genetic and Evolutionary Computation Conference (GECCO)
46. Sparse reward exploration via novelty search and emitters
    Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière · 2021 · Genetic and Evolutionary Computation Conference (GECCO)
47. Monte Carlo elites
    Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis · 2021 · Genetic and Evolutionary Computation Conference (GECCO)
48. Reservoir Computing in Material Substrates
    Matthew Dale, Julian Francis Miller, Susan Stepney, Martin A. Trefzer · 2021 · Natural computing series
49. Few-Shot Quality-Diversity Optimization
    Achkan Salehi, Alexandre Coninx, Stéphane Doncieux · 2022 · IEEE Robotics and Automation Letters
50. Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search
    Aurelien Morel, Yakumo Kunimoto, Alexandre Coninx, Stéphane Doncieux · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
51. Quality and Diversity in Evolutionary Modular Robotics
    Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette · 2020 · IEEE Symposium Series on Computational Intelligence (SSCI)
52. Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders
    Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Quang Tran · 2022 · Lecture notes in computer science
53. On the Use of Quality Diversity Algorithms for the Travelling Thief Problem
    Adel Nikfarjam, Aneta Neumann, Frank Neumann · 2024 · ACM Transactions on Evolutionary Learning and Optimization
54. Bayesian Optimization for Quality Diversity Search With Coupled Descriptor Functions
    Paul Kent, Adam Gaier, Jean-Baptiste Mouret, Juergen Branke · 2024 · IEEE Transactions on Evolutionary Computation
55. Goals as reward-producing programs
    Guy Davidson, Graham Todd, Julian Togelius, Todd Matthew Gureckis, Brenden M. Lake · 2025 · Nature Machine Intelligence
56. Comparing multimodal optimization and illumination
    Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret · 2017 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
57. Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours Using a Quality Diversity Algorithm
    Léo Cazenille, Nicolas Bredèche, José Halloy · 2019 · Lecture notes in computer science
58. Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites
    Léo Cazenille, Nicolas Bredèche, Nathanaël Aubert-Kato · 2019 · IEEE Symposium Series on Computational Intelligence (SSCI)
59. Learning the Designer’s Preferences to Drive Evolution
    Alberto Alvarez, José Font · 2020 · Lecture notes in computer science
60. A Framework for Automatic Behavior Generation in Multi-Function Swarms
    Sondre Andreas Engebråten, Jonas Moen, Oleg A. Yakimenko, Kyrre Glette · 2020 · Frontiers in Robotics and AI
61. Evolving the Behavior of Machines: From Micro to Macroevolution
    Jean-Baptiste Mouret · 2020 · iScience
62. Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient
    Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, Jörg Lässig · 2022 · IEEE Transactions on Evolutionary Computation
63. Automatic modular design of robot swarms based on repertoires of behaviors generated via novelty search
    Ken Hasselmann, Antoine Ligot, Mauro Birattari · 2023 · Swarm and Evolutionary Computation
64. Efficient Multi-Resolution Approaches for Exploration of External Aerodynamic Shape and Topology
    Laurence Kedward, Alexandre D. Payot, Thomas Rendall, Christian B Allen · 2018 · AIAA Applied Aerodynamics Conference
65. Learning to walk autonomously via reset-free quality-diversity
    Bryan Lim, Alexander Reichenbach, Antoine Cully · 2022 · Genetic and Evolutionary Computation Conference (GECCO)
66. On the Entanglement between Evolvability and Fitness: an Experimental Study on Voxel-based Soft Robots
    Andrea Ferigo, L. B. Soros, Eric Medvet, Giovanni Iacca · 2022 · Conference on Artificial Life (ALIFE)
67. Applications of Evolutionary Computation
    João Correia, Stephen Smith, Raneem Qaddoura · 2023 · Lecture notes in computer science
68. Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
    Bryon Tjanaka, M. C. Fontaine, David H. Lee, Aniruddha Kalkar, S. Nikolaidis · 2022 · IEEE Robotics and Automation Letters
69. WHAT IS GENERATIVE IN GENERATIVE DESIGN TOOLS? UNCOVERING TOPOLOGICAL GENERATIVITY WITH A C-K MODEL OF EVOLUTIONARY ALGORITHMS
    Armand Hatchuel, Pascal Le Masson, Maxime Thomas, Benoît Weil · 2021 · Proceedings of the Design Society
70. Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery
    Peter J. Bentley, Soo Ling Lim, Paolo Arcaini, Fuyuki Ishikawa · 2023 · Genetic and Evolutionary Computation Conference (GECCO)
71. Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
    Bryan Lim, Manon Flageat, Antoine Cully · 2023 · Genetic and Evolutionary Computation Conference (GECCO)
72. Measuring Diversity of Game Scenarios
    Yuchen Li, Ziqi Wang, Qingquan Zhang, Bo Yuan, Jialin Liu · 2025 · IEEE Transactions on Games
73. Diversity for transfer in learning-based control of buildings
    Tianyu Zhang, Aakash Krishna G S, Mohammad Pooya Afshari, Petr Musı́lek, Matthew Edmund Taylor, Omid Ardakanian · 2022 · ACM International Conference on Future Energy Systems (e-Energy)
74. AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks
    Mayalen Etcheverry, Clément Moulin-Frier, Pierre‐Yves Oudeyer, Michael G. Levin · 2025 · eLife
75. Designing Dynamical Molecular Systems with the PEN Toolbox
    Nathanaël Aubert-Kato, Léo Cazenille · 2020 · New Generation Computing
76. Diversity preservation in minimal criterion coevolution through resource limitation
    Jonathan C. Brant, Kenneth Owen Stanley · 2020 · Genetic and Evolutionary Computation Conference (GECCO)
77. Exploratory Landscape Analysis
    Pascal Kerschke, Mike Preuß · 2023 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
78. The First ChatGPT4PCG Competition
    Febri Abdullah, Pittawat Taveekitworachai, Mury Fajar Dewantoro, Ruck Thawonmas, Julian Togelius, Jochen Renz · 2024 · IEEE Transactions on Games
79. Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi
    Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel · 2020 · arXiv (Cornell University)
80. Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
    Loïc Brevault, Mathieu Balesdent · 2024 · Engineering Applications of Artificial Intelligence
81. Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
    Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully · 2024 · ACM Transactions on Evolutionary Learning and Optimization
82. Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms
    Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros · 2023 · IEEE Transactions on Games
83. Sampling diverse near-optimal solutions via algorithmic quantum annealing
    Masoud Mohseni, Marek M. Rams, Sergei V. Isakov, Daniel Eppens, Susanne Pielawa, Johan Strümpfer, Sergio Boixo, Hartmut Neven · 2023 · Physical review. E
84. Coupling novelty and surprise for evolutionary divergence
    Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis · 2017 · Genetic and Evolutionary Computation Conference (GECCO)
85. Behavioral Repertoire via Generative Adversarial Policy Networks
    Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales · 2019 · IEEE International Conference on Development and Learning (ICDL)
86. An Analysis of Phenotypic Diversity in Multi-solution Optimization
    Alexander Hagg, Mike Preuß, Alexander Asteroth, Thomas Bäck · 2020 · Lecture notes in computer science
87. Neuroevolution Trajectory Networks of the Behaviour Space
    Stefano Sarti, Jason Adair, Gabriela Ochoa · 2022 · Lecture notes in computer science
88. Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation
    Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros · 2022 · IEEE Conference on Games (CoG)
89. Severe damage recovery in evolving soft robots through differentiable programming
    Kazuya Horibe, Kathryn Walker, Rasmus Berg Palm, Shyam Sudhakaran, Sebastian Risi · 2022 · Genetic Programming and Evolvable Machines
90. A single neural cellular automaton for body-brain co-evolution
    Sidney Pontes-Filho, Kathryn Walker, Elias Najarro, Stefano Nichele, Sebastian Risi · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
91. Exploring Model Inversion Attacks in the Black-box Setting
    Antreas Dionysiou, Vassilis Vassiliades, Elias Athanasopoulos · 2023 · Proceedings on Privacy Enhancing Technologies
92. Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection
    Alexander Lalejini, Matthew Andres Moreno, Jose Guadalupe Hernandez, Emily L. Dolson · 2024 · Genetic and evolutionary computation
93. Comparative Study of NeuroEvolution Algorithms in Reinforcement Learning for Self-Driving Cars
    Ahmed AbuZekry · 2019 · European Journal of Engineering Science and Technology
94. Analysis of Quality Diversity Algorithms for the Knapsack Problem
    Adel Nikfarjam, Anh Viet Do, Frank Neumann · 2022 · Lecture notes in computer science
95. Modeling user selection in quality diversity
    Alexander Hagg, Alexander Asteroth, Thomas Bäck · 2019 · Genetic and Evolutionary Computation Conference (GECCO)
96. Evolutionary Reinforcement Learning: Hybrid Approach for Safety-Informed Fault-Tolerant Flight Control
    Vlad Gavra, Erik-Jan Van Kampen · 2024 · Journal of Guidance Control and Dynamics
97. The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games
    Ahmed Khalifa, Roberto Gallotta, Matthew Barthet, Antonios Liapis, Julian Togelius, Georgios N. Yannakakis · 2025 · International Conference on the Foundations of Digital Games (FDG)
98. MAP-Elites for Constrained Optimization
    Stefano Fioravanzo, Giovanni Iacca · 2021 · Springer eBooks
99. CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data
    Sheng Zhong, Dmitry Berenson, Nima Fazeli · 2023 · Robotics: Science and Systems
100. Behavioral Repertoire via Generative Adversarial Policy Networks
     Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales · 2020 · IEEE Transactions on Cognitive and Developmental Systems